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脑血管病结构与功能影像学与认知相关纤维关系评估。

An Assessment of the Relationship between Structural and Functional Imaging of Cerebrovascular Disease and Cognition-Related Fibers.

机构信息

Department of Radiology, Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi, China.

Department of Radiology, Jiangxi Provincial People's Hospital Affiliated to Nanchang University, Nanchang 330006, Jiangxi, China.

出版信息

Comput Math Methods Med. 2020 Jan 20;2020:4347676. doi: 10.1155/2020/4347676. eCollection 2020.

DOI:10.1155/2020/4347676
PMID:32411283
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7201792/
Abstract

In order to assess the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers, this paper chooses a total of 120 patients who underwent cerebral small vessel disease (CSVD) treatment at a designated hospital by this study from June 2013 to June 2018 and divides them into 3 groups according to the random number table method: vascular dementia (VaD) group, vascular cognitive impairment no dementia (VCIND) group, and noncognition impairment (NCI) group with 40 cases of patients in each group. Cognitive function measurement and imaging examination were performed for these 3 groups of patients, and the observation indicators of cognitive state examination (CSE), mental assessment scale (MAS), clock drawing test (CDT), adult intelligence scale (AIS), frontal assessment battery (FAB), verbal fluency test (VFT), trail making test (TMT), cognitive index (CI), white matter lesions (WML), third ventricle width (TVW), and frontal horn index (FHI) were tested, respectively. The results shows that the average scores of CSE, MAS, AIS, and VFT in the VaD and VCIND group are lower than those of the NCI group and the differences are statistically significant ( < 0.05); the average scores of FAB, TMT, and CI in the VaD group are higher than those of the VCIND group and the differences are also statistically significant ( < 0.05); the average scores of FHI and TVW in the VaD group are lower than those of the VCIND and NCI group with statistically significant differences ( < 0.05); the average scores of WML, CDT, and AIS in the VaD group are higher than those of the VCIND and NCI group with statistically significant differences ( < 0.05). Therefore, it is believed that the structural and functional imaging features of cerebrovascular disease are closely related to cognition-related fibers, and the incidence of white matter lesions is closely related to the degree of lesions and cognitive dysfunction of cerebral small vessel disease, in which a major risk factor for cognitive dysfunction in patients with small blood vessels is the severity of white matter lesions; brain imaging and neuropsychiatric function assessment can better understand the relationship between cerebrovascular disease and cognitive impairment. The results of this study provide a reference for the further research studies on the relationship between structural and functional imaging of cerebrovascular disease and cognition-related fibers.

摘要

为了评估脑血管病结构和功能影像学与认知相关纤维之间的关系,本文选择了 2013 年 6 月至 2018 年 6 月在指定医院接受脑小血管病(CSVD)治疗的 120 例患者,根据随机数字表法将其分为 3 组:血管性痴呆(VaD)组、血管性认知障碍非痴呆(VCIND)组和非认知障碍(NCI)组,每组 40 例。对这 3 组患者进行认知功能测量和影像学检查,观察认知状态检查(CSE)、精神评估量表(MAS)、画钟测验(CDT)、成人智力量表(AIS)、额叶评估电池(FAB)、言语流畅性测验(VFT)、追踪测验(TMT)、认知指数(CI)、白质病变(WML)、第三脑室宽度(TVW)和额叶角指数(FHI)的观察指标。结果显示,VaD 和 VCIND 组的 CSE、MAS、AIS 和 VFT 平均得分均低于 NCI 组,差异具有统计学意义( < 0.05);VaD 组的 FAB、TMT 和 CI 平均得分均高于 VCIND 组,差异也具有统计学意义( < 0.05);VaD 组的 FHI 和 TVW 平均得分均低于 VCIND 和 NCI 组,差异具有统计学意义( < 0.05);VaD 组的 WML、CDT 和 AIS 平均得分均高于 VCIND 和 NCI 组,差异具有统计学意义( < 0.05)。因此,研究认为脑血管病的结构和功能影像学特征与认知相关纤维密切相关,白质病变的发生率与脑小血管病病变和认知功能障碍的严重程度密切相关,其中小血管病患者认知功能障碍的一个主要危险因素是白质病变的严重程度;脑影像学和神经心理功能评估可以更好地了解脑血管病与认知障碍的关系。本研究结果为进一步研究脑血管病结构和功能影像学与认知相关纤维之间的关系提供了参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/cc47482106ef/CMMM2020-4347676.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/3883110c8601/CMMM2020-4347676.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/6e6be1719d2c/CMMM2020-4347676.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/cee368b26fbf/CMMM2020-4347676.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/eb999c3f7ec0/CMMM2020-4347676.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/cc47482106ef/CMMM2020-4347676.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/3883110c8601/CMMM2020-4347676.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/6e6be1719d2c/CMMM2020-4347676.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/cee368b26fbf/CMMM2020-4347676.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/eb999c3f7ec0/CMMM2020-4347676.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0606/7201792/cc47482106ef/CMMM2020-4347676.005.jpg

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